Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish that this is a read-only, non-destructive, open-world GET operation. Beyond that, the description usefully discloses that the tool returns aggregated rather than record-level data, and enumerates the metrics and breakdown dimensions the agent can expect. It still omits details such as default period behavior, rate limits, or pagination, so it is helpful but not fully comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense sentence front-loaded with the core purpose, followed by an endpoint reference. The long enumeration of metrics and breakdowns is informative rather than wasteful, though the list is lengthy enough to slightly reduce readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and annotations covering safety, the description does a good job listing the returned metrics and breakdown dimensions, and it names the endpoint and response format. It is nearly complete for an analytics tool, but it does not clarify default date range semantics or the exact response structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents to_date, from_date, and location_id clearly. The description adds no parameter-level meaning beyond the schema—it does not explain date format edge cases, default period behavior, or how location_id interacts with breakdowns. Baseline 3 is appropriate when the schema carries the parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource and return type: aggregated visit statistics for a period, explicitly listing the metrics and breakdown dimensions. It clearly distinguishes this analytics tool from sibling listing/search tools like list_visits and search_visits, which return individual visit records rather than aggregates.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through 'for a period' and the metric list, but it does not explicitly say when to use this tool versus alternatives such as list_visits or search_visits. No when-not conditions, prerequisites, or alternative routing guidance are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.